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Information-Theoretic Foundations of Online Temperature Sampling

Sima, Jin et al.
arXiv (All) · Papers
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machine-learning
Repetitive, degenerate generation is a persistent failure of LLM decoding, and the standard remedies (temperature, nucleus, and top-$k$ sampling) are static heuristics. By Kac's lemma and the AEP, a stationary source takes time exponential in its entropy to repeat a block. We therefore maximize the
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